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Wolfgang Täger

European Patent Office. European Machine Translation Programme. Wolfgang Täger. December 2006. Programme Partners and Goals. Trigger: Success of JP-EN patent translation Agreement EPO - Member States MT of patents/ abstracts/ communications to/from English Three language pairs per year

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Wolfgang Täger

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  1. European Patent Office European Machine Translation Programme Wolfgang Täger December 2006

  2. Programme Partners and Goals • Trigger: Success of JP-EN patent translation • Agreement EPO - Member States • MT of patents/ abstracts/ communications to/from English • Three language pairs per year • First three languages: FR - DE - ES • Candidates for next year: Swedish, Dutch, Italian, Romanian, Greek

  3. MT engine • Trial with SMT system (Language Weaver) • Call for tender: Winner Worldlingo (Systran) • Going public (esp@cenet): December 2006 • Needed: Improve translation by specific dictionaries

  4. Dictionary format • Desiderata • open standard • XML-Unicode • support features of MT engines • support conditional translations (e.g. based on IPC) • Is not intended for terminology (no definitions, lexical focus and no semantic focus). • OLIF format was chosen How to get dictionaries ? By bilingual term extraction !

  5. Available corpora • 560.000 EP-B publications => claims in EN,DE,FR • 300.000 DE-T2 publications • 37.000 ES-B3/T3 publications • => Align corpora for term extraction, concordancing, translation memory (and SMT) ES B3/T3 (LaTex) DE-T2 EP-B1 DESC ES DESC DE DESC EN OR FR OR DE CL ES (CL DE) CL EN CL FR CL DE

  6. Available corpora • 560.000 EP-B publications => claims in EN,DE,FR • 300.000 DE-T2 publications • 37.000 ES-B3/T3 publications • => Align corpora for term extraction, concordancing, translation memory (and SMT) ES B3/T3 (LaTex) DE-T2 EP-B1 DESC ES DESC DE DESC EN OR FR OR DE CL ES (CL DE) CL EN CL FR CL DE

  7. Alignment & Extraction • Alignment: Trial at EPO with internally developed SW • Result was not improved by external companies during call for tender.

  8. Alignment & Extraction • Call for tender for bilingual term extraction • Winner: DFKI • Alignment of corpora, POS tagging, Identification of terms • Pairing of terms using clues like co-occurrence score, string similarity, grammatical clues, position, available dictionaries, ... • Providing further information like gender, inflection, transitivity, countable, ...

  9. Validation & Concordancing • Development of OLIF editor at EPO • Remove noise • Correct entries • Use concordancer (provides statistics based on parallel corpora) • => DEMO

  10. OLIF format • Support of more languages • Clarification of inflection scheme • Clarification of term vs lex approach • Tools

  11. Relational database ?? Transl SemRel Concept Term Naming SurfForm InflForm Lemma RegEx LexType Infl

  12. Relational database ?? Transl SemRel „hot drink ...“ grüner Tee Naming grüner Nom. Sg. str. f. pos. grün -er DE, Adj iLike „klein“

  13. End • Thank you!

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